Knowledge that Transforms

We study how equity option trading affects the market risk premium. We find that a measure of aggregate call order imbalance (ACIB), defined as the cross-sectional average of the difference between open-buy and open-sell volume, negatively forecasts future stock market returns significantly from days to months. Moreover, ACIB represents an option-based investor sentiment measure that accounts for excess option buying or selling, and is highly correlated with the stock investor sentiment. Our findings shed new insights on the distinctions for call and put option trading, index and equity option trading, and cross-sectional and time-series predictions.

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Retail investor contrarian selling depends on whether a position is at a gain or a loss. Selling propensity increases in daily returns for positions with unrealized gains (contrarian selling) and decreases in returns for loss positions (trend-following selling). This pattern is consistent with behavioral arguments that investors update their beliefs when stock prices move away from their purchase prices. In line with increased liquidity from contrarian selling, illiquid stocks exhibit weaker short-term reversals when investors have higher unrealized capital gains. Our findings diminish following stock splits, suggesting that unrealized capital gains are central to contrarian behavior, particularly when investors perceive them clearly.

We examine whether free-speech protections influence corporate environmental performance. Using the staggered enactment of U.S. anti-SLAPP statutes in a stacked difference-in-differences design from 1990 to 2019, we find that these laws significantly reduce firms’ toxic emissions without curbing economic activity. Anti-SLAPP enactments also promote environmental investment through green innovation, abatement spending, and waste reduction management, and strengthen governance via improved sustainability oversight, ESG-linked executive pay, employee training, and supply chain management. The effects are stronger when stakeholder monitoring is stronger and when managerial incentives embed sustainability goals. Overall, free-speech protections generate powerful environmental benefits.

This article studies the flow of payout funds in the financial system. Using various data sources and empirical strategies, it provides evidence that a significant portion of payouts enters the banking sector as deposits, which are then intermediated to bank borrowers. The findings highlight an important channel through which corporate payout policies shape capital allocation in the economy and suggest that policies aimed at restricting payouts may distort this process by limiting the flow of funds from large and profitable corporations to small, bank-dependent firms and households.

We investigate whether judges’ political ideology affects corporate tax behaviors. We find that firms engaging in less aggressive tax planning when Circuit Court judges are more liberal. Cross-sectionally, the deterrent effect of liberal judge ideology is more pronounced for firms that engage in judiciary-sensitive tax strategies, face higher enforcement risk from the Internal Revenue Service (IRS), or have larger reputational costs from tax disputes. Our findings further suggest that liberal judge ideology reduces firms’ R&D investments and market value by constraining tax planning. Overall, our evidence highlights the importance of judge ideology for firm behavior in the context of corporate tax planning.

We examine hidden orders usage by algorithmic traders (ATs) and nonATs. ATs extensively use hidden orders but of smaller size than nonATs, who are the primary contributors to hidden volume. ATs’ relative share of hidden volume decreases with volatility, adverse selection costs, and the relative tick-size. Proprietary ATs (HFTs), who differ from agency ATs (AATs) in their information sets and potential gains from trade, hide orders to reduce competition for liquidity provision, whereas AATs use hidden orders to conceal information in their more informed orders and manage picking-off risk. Finally, superior technology provides limited benefit for hidden order execution.

Practical real-world activities consume energy and emit thermal infrared radiation (TIR). Leveraging this physical fact, we develop a direct, real-time measure of firms’ operating activity using satellite data. Tracking 28,236 factories of Chinese listed firms, we find TIR declines significantly following operational shocks and strongly forecasts subsequent sales growth, costs, investment, employment, and profits. TIR also predicts future stock returns, especially among opaque firms and those with limited investor access, yet sophisticated investors largely ignore this information. Our findings highlight TIR as a distinctive, under-exploited indicator of corporate fundamentals.

This article investigates sample selection bias in early-stage investment. We use comprehensive administrative data on the universe of new firm starts in Norway, allowing us to compare venture-backed firms with ex ante similar firms that do not receive venture funding. The valuation premium for venture backing is sizeable at firm birth and doubles over the first 5 years, implying a substantial upward bias in venture capital (VC) returns relative to comparable firms. In contrast, the premium for firms receiving multiple rounds of outside equity emerges only after the first year and remains significantly smaller than the VC premium throughout the firm life cycle.

Predictive regressions of market returns on option-implied moments measured before pre-scheduled FOMC meetings show that tail risks play an important role in understanding the market risk premium around FOMC announcement days. Skewness and kurtosis, which capture investors’ expectations of the tails of the return distribution, robustly predict post-FOMC returns both in-sample and out-of-sample. The predictability lasts up to 1 week and is stronger for expansionary monetary policy shocks. The signs of the corresponding risk premiums are consistent with economic intuition, illustrating the role of periods with high risk premiums to confirm theoretical predictions.